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author | Théo de la Hogue | 2023-06-14 11:36:40 +0200 |
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committer | Théo de la Hogue | 2023-06-14 11:36:40 +0200 |
commit | 4a5c7ad8bf29afc5af893c524e5753de302873b7 (patch) | |
tree | 3bcfc09e13dea8786d82c5e4f90f231ec945bdda /docs/user_guide/aruco_markers | |
parent | a292d09c2a95237429bd740075f396e8ca74b5c9 (diff) | |
download | argaze-4a5c7ad8bf29afc5af893c524e5753de302873b7.zip argaze-4a5c7ad8bf29afc5af893c524e5753de302873b7.tar.gz argaze-4a5c7ad8bf29afc5af893c524e5753de302873b7.tar.bz2 argaze-4a5c7ad8bf29afc5af893c524e5753de302873b7.tar.xz |
Renaming ArUcoCamera into ArUcoOpticCalibrator. Using OpticParameters class to handle K and D parameters.
Diffstat (limited to 'docs/user_guide/aruco_markers')
-rw-r--r-- | docs/user_guide/aruco_markers/camera_calibration.md | 42 | ||||
-rw-r--r-- | docs/user_guide/aruco_markers/introduction.md | 2 | ||||
-rw-r--r-- | docs/user_guide/aruco_markers/markers_detection.md | 4 |
3 files changed, 28 insertions, 20 deletions
diff --git a/docs/user_guide/aruco_markers/camera_calibration.md b/docs/user_guide/aruco_markers/camera_calibration.md index c8a0be9..ea2c51a 100644 --- a/docs/user_guide/aruco_markers/camera_calibration.md +++ b/docs/user_guide/aruco_markers/camera_calibration.md @@ -5,7 +5,7 @@ Any camera device have to be calibrated to compensate its optical distorsion. ![Camera calibration](../../img/camera_calibration.png) -The first step to calibrate a [ArUcoCamera](/argaze/#argaze.ArUcoMarkers.ArUcoCamera) is to create an [ArUcoBoard](/argaze/#argaze.ArUcoMarkers.ArUcoBoard) like in the code below: +The first step to calibrate a camera is to create an [ArUcoBoard](/argaze/#argaze.ArUcoMarkers.ArUcoBoard) like in the code below: ``` python from argaze.ArUcoMarkers import ArUcoMarkersDictionary, ArUcoBoard @@ -20,20 +20,20 @@ aruco_board = ArUcoBoard.ArUcoBoard(7, 5, 5, 3, aruco_dictionary) aruco_board.save('./calibration_board.png', 300) ``` -Then, the calibration process needs to make many different captures of an [ArUcoBoard](/argaze/#argaze.ArUcoMarkers.ArUcoBoard) through the camera and then, pass them to an [ArUcoDetector](/argaze/#argaze.ArUcoMarkers.ArUcoDetector.ArUcoDetector) instance. +Then, the calibration process needs to make many different captures of an [ArUcoBoard](/argaze/#argaze.ArUcoMarkers.ArUcoBoard) through the camera and then, pass them to an [ArUcoDetector](/argaze/#argaze.ArUcoMarkers.ArUcoDetector.ArUcoDetector) instance to detect board corners and store them as calibration data to an [ArUcoOpticCalibrator](/argaze/#argaze.ArUcoMarkers.ArUcoOpticCalibrator) for final calibration process. ![Calibration step](../../img/camera_calibration_step.png) The sample of code below shows how to detect board corners into camera frames, store detected corners then process them to build calibration data and, finally, save it into a JSON file: ``` python -from argaze.ArUcoMarkers import ArUcoMarkersDictionary, ArUcoCamera, ArUcoBoard, ArUcoDetector +from argaze.ArUcoMarkers import ArUcoMarkersDictionary, ArUcoOpticCalibrator, ArUcoBoard, ArUcoDetector # Create ArUco dictionary aruco_dictionary = ArUcoMarkersDictionary.ArUcoMarkersDictionary('DICT_APRILTAG_16h5') -# Create ArUco camera -aruco_camera = ArUcoCamera.ArUcoCamera(dimensions=(1920, 1080)) +# Create ArUco optic calibrator +aruco_optic_calibrator = ArUcoOpticCalibrator.ArUcoOpticCalibrator() # Create ArUco board of 7 columns and 5 rows with 5 cm squares with 3cm aruco markers inside # Note: This board is the one expected during further board tracking @@ -57,27 +57,35 @@ while video_stream.is_alive(): aruco_detector.draw_board(frame) # Append tracked board data for further calibration processing - aruco_camera.store_calibration_data(aruco_detector.board_corners, aruco_detector.board_corners_identifier) + aruco_optic_calibrator.store_calibration_data(aruco_detector.board_corners, aruco_detector.board_corners_identifier) # Start camera calibration processing for Full HD image resolution print('Calibrating camera...') -aruco_camera.calibrate(expected_aruco_board) +optic_parameters = aruco_optic_calibrator.calibrate(aruco_board, dimensions=(1920, 1080)) -# Print camera calibration data -print('Calibration succeeded!') -print(f'RMS:{aruco_camera.rms}') -print(f'Camera matrix:{aruco_camera.K}') -print(f'Distortion coefficients:{aruco_camera.D}') +if optic_parameters: -# Save camera calibration data -aruco_camera.to_json('calibration.json') + print('\nCalibration succeeded!') + + print(f'\nRMS:\n{optic_parameters.rms}') + print(f'\nDimensions:\n{optic_parameters.dimensions[0]}x{optic_parameters.dimensions[1]}') + print(f'\nCamera matrix:\n{optic_parameters.K}') + print(f'\nDistortion coefficients:\n{optic_parameters.D}') + + optic_parameters.to_json(f'{args.output}/calibration.json') + + print(f'\ncalibration.json file exported into {args.output} folder') + +else: + + print('\nCalibration error.') ``` Then, the camera calibration data are loaded to compensate optical distorsion during [ArUcoMarkers](/argaze/#argaze.ArUcoMarkers.ArUcoMarker) detection: ``` python -from argaze.ArUcoMarkers import ArUcoCamera +from argaze.ArUcoMarkers import ArUcoOpticCalibrator -# Load camera calibration data -aruco_camera = ArUcoCamera.ArUcoCamera.from_json('./calibration.json') +# Load camera optic parameters +optic_parameters = ArUcoOpticCalibrator.OpticParameters.from_json('./calibration.json') ``` diff --git a/docs/user_guide/aruco_markers/introduction.md b/docs/user_guide/aruco_markers/introduction.md index fbf01cf..7da045c 100644 --- a/docs/user_guide/aruco_markers/introduction.md +++ b/docs/user_guide/aruco_markers/introduction.md @@ -10,6 +10,6 @@ The ArGaze [ArUcoMarkers submodule](/argaze/#argaze.ArUcoMarkers) eases markers * [ArUcoMarkersDictionary](/argaze/#argaze.ArUcoMarkers.ArUcoMarkersDictionary) * [ArUcoMarkers](/argaze/#argaze.ArUcoMarkers.ArUcoMarker) * [ArUcoBoard](/argaze/#argaze.ArUcoMarkers.ArUcoBoard) -* [ArUcoCamera](/argaze/#argaze.ArUcoMarkers.ArUcoCamera) +* [ArUcoOpticCalibrator](/argaze/#argaze.ArUcoMarkers.ArUcoOpticCalibrator) * [ArUcoDetector](/argaze/#argaze.ArUcoMarkers.ArUcoDetector) * [ArUcoScene](/argaze/#argaze.ArUcoMarkers.ArUcoScene)
\ No newline at end of file diff --git a/docs/user_guide/aruco_markers/markers_detection.md b/docs/user_guide/aruco_markers/markers_detection.md index d962b7b..f8a23f9 100644 --- a/docs/user_guide/aruco_markers/markers_detection.md +++ b/docs/user_guide/aruco_markers/markers_detection.md @@ -8,7 +8,7 @@ Firstly, the [ArUcoDetector](/argaze/#argaze.ArUcoMarkers.ArUcoDetector.ArUcoDet Notice that extra parameters are passed to detector: see [OpenCV ArUco markers detection parameters documentation](https://docs.opencv.org/4.x/d1/dcd/structcv_1_1aruco_1_1DetectorParameters.html) to know more. ``` python -from argaze.ArUcoMarkers import ArUcoDetector, ArUcoCamera +from argaze.ArUcoMarkers import ArUcoDetector, ArUcoOpticCalibrator # Assuming camera calibration data are loaded @@ -16,7 +16,7 @@ from argaze.ArUcoMarkers import ArUcoDetector, ArUcoCamera extra_parameters = ArUcoDetector.DetectorParameters.from_json('./detector_parameters.json') # Create ArUco detector to track DICT_APRILTAG_16h5 5cm length markers -aruco_detector = ArUcoDetector.ArUcoDetector(camera=aruco_camera, dictionary='DICT_APRILTAG_16h5', marker_size=5, parameters=extra_parameters) +aruco_detector = ArUcoDetector.ArUcoDetector(optic_parameters=optic_parameters, dictionary='DICT_APRILTAG_16h5', marker_size=5, parameters=extra_parameters) ``` Here is [DetectorParameters](/argaze/#argaze.ArUcoMarkers.ArUcoDetector.DetectorParameters) JSON file example: |